Triple
T4246424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 5.0 |
E95538
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Dr. Luke |
E404303
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dr. Luke | Statement: [5.0, producer, Dr. Luke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Luke Context triple: [5.0, producer, Dr. Luke]
-
A.
Dr. Luke
chosen
Dr. Luke is an American pop music producer and songwriter known for crafting numerous chart-topping hits for major artists in the 2000s and 2010s.
-
B.
RedOne
RedOne is a Moroccan-Swedish record producer and songwriter known for crafting global pop and dance hits for artists like Lady Gaga, Jennifer Lopez, and Nicki Minaj.
-
C.
Benny Blanco
Benny Blanco is an American record producer and songwriter known for crafting numerous chart-topping pop and hip-hop hits for major artists.
-
D.
Bill Bottrell
Bill Bottrell is an American record producer, songwriter, and musician best known for his work with artists like Sheryl Crow, Michael Jackson, and Madonna.
-
E.
Lyor Cohen
Lyor Cohen is a prominent music industry executive known for his influential leadership at major hip-hop labels and his role in shaping the careers of numerous rap and R&B artists.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9b64ac81908dc44eaae6829b50 |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b77ce4d48190ba24e3ef8c9ceb8d |
completed | March 14, 2026, 7:31 p.m. |
Created at: March 12, 2026, 11:05 p.m.